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Arthur DANJOU
05963bb605
- Created a new article on "Understanding AI Agents, LLMs, and RAG" detailing the synergy between AI agents, LLMs, and Retrieval-Augmented Generation. - Added an introductory article on "What is Machine Learning?" covering types, model selection, workflow, and evaluation metrics. chore: setup ESLint and Nuxt configuration - Added ESLint configuration for code quality. - Initialized Nuxt configuration with various modules and settings for the application. chore: initialize package.json and TypeScript configuration - Created package.json for dependency management and scripts. - Added TypeScript configuration for the project. feat: implement API endpoints for activity and stats - Developed API endpoint to fetch user activity from Lanyard. - Created a stats endpoint to retrieve Wakatime coding statistics with caching. feat: add various assets and images - Included multiple images and assets for articles and projects. - Added placeholder files to maintain directory structure. refactor: define types for chat, lanyard, time, and wakatime - Created TypeScript types for chat messages, Lanyard activities, time formatting, and Wakatime statistics.
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500 B
JSON
10 lines
500 B
JSON
{
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"name": "Apple MacBook Pro 13'",
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"description": {
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"en": "My main programming computer is a MacBook Pro 13' 2020 with the Apple M1 Chip and 16Go RAM. I use MacOS Sorona.",
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"fr": "Mon ordinateur principal pour programmer est un MacBook Pro 13' 2020 avec la puce Apple M1 et 16Go de RAM. J'utilise MacOS Sorona.",
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"es": "Mi ordenador principal para programar es un Apple MacBook Pro 13’ 2020 con el chip Apple M1 y 16Go de Ram. Utilizo MAcOs Sorona."
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},
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"category": "hardware"
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}
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